Universita′ Di Pisa

Catalog Technologies, Inc.

Lucent Technologies Inc.

Yahoo! Inc.

New York University

Paolo Ferragina

Swapnil P Bhatia

Nathaniel Roquet

Shanmugavelayut Muthukrishnan

Giovanni Manzini

Bhubaneswar Mishra

Aristides Gionis

Debora Donato

Giorgio Vinciguerra

Claudio Corsi

Fabrizion Luccio

compression and search process on a data set based on multiple strategies, including: extracting a set of raw data and transforming it into a sequence of symbols, manipulating the sequence by combining data structures and one or more (optionally a multiplicity of) compression strategies to obtain compressed and efficiently searchable data, recording the compressed and efficiently searchable data on storage media.

Compression and search process on a data set based on multiple strategies

The present disclosure is directed to enabling search and extraction of data stored in DNA with optimized data structures and functions. Accordingly, systems and methods are provided herein for performing certain functions on data stored in nucleic acid molecules. The present disclosure covers at least the following areas of interest: (1) data structures to provide efficient access and search of information stored in nucleic acid molecules, (2) accurate and quick reading of information stored in nucleic acid molecules, (3) targeted approaches to accessing subsets of information stored in nucleic acid molecules, (4) a rank function that determines a count of particular bit or symbol value in a set of information stored in nucleic acid molecules, (5) functions including counting, locating, and extracting occurrences of a specific pattern in a message of information stored in nucleic acid molecules, and (6) an if-then-else operation to sort data stored in nucleic acid molecules.

Data structures and operations for searching, computing, and indexing in DNA-based data storage

Exemplary systems, methods and computer-accessible mediums can receive first data related to at least one first string arranged in a directed acyclic graph, compress the first data into second data, and can search the second data for a match of at least one second string. A node of the directed acyclic graph can encode at least one substring, and an edge of the directed acyclic graph can encode instructions for concatenating substrings.

Systems, methods and computer-accessible mediums for utilizing pattern matching in stringomes

Disclosed are methods and apparatus for detecting spam hosts. In one embodiment, one or more graphs are generated using data obtained from a query log, where the one or more graphs include at least one of an anticlick graph or a view graph. Values of one or more syntactic features of the one or more graphs are ascertained. Values of one or more semantic features of the one or more graphs are determined by propagating categories from a web directory among nodes in each of the one or more graphs. Spam hosts are then detected based upon the values of the syntactic features and the semantic features.

Query log mining for detecting spam hosts

A method of structuring and compressing labeled trees of arbitrary degree and shape for optimal succinctness, the method including a transform for compressing and indexing tree shaped data, using path sorting and grouping to linearize labeled tree shaped data into two coordinated arrays, one capturing the structure of the tree and the other capturing the labels of the tree. Additional navigational operations and basic searching may be performed on the transformed data.

Method of structuring and compressing labeled trees of arbitrary degree and shape

A method and system for efficiently resolving the multi-method dispatching problem provided. The dispatching problem is reduced to geometric problems on multi-dimensional grids and new data structures are provided for the resulting geometric problems. In particular, methods having the same name are mapped to a set of rectangles based on a pair of numbers associated with each argument. The pair of numbers is an interval identifying the position of the argument in a class hierarchy tree. The interval is found by computing an Euler Tour of the class hierarchy tree. For a given method invocation in an object-oriented program, the method invocation is mapped to a point based on one of the numbers in the interval associated with each argument in the invocation. The problem of finding the most specific method for the method invocation is thus transformed into the so-called point enclosure problem in geometry, in which the smallest rectangle is found which encloses a given point. To help find efficient solutions to the point enclosure problem, the set of rectangles is broken into a number of subsets having certain geometric properties and stored in efficient data structures. Queries are performed on the various data structures to find the smallest or minimal rectangle, if any, in the various subsets. The result is either the identification of the minimal rectangle overall, or of an ambiguity requiring resolution by the programmer.

Growing community of inventors

Pisa, Italy

Paolo Ferragina